Federated Learning under Arbitrary Communication Patterns

By Dmitrii Avdiukhin, Shiva Prasad Kasiviswanathan. 2021

69 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Zaïd Harchaoui
2. Krishna Pillutla
3. Sham M. Kakade
4. Sergey Levine
5. Francis R. Bach
6. Chenhao Xu
7. Youyang Qu
8. Yong Xiang

Citations in the corpus

• Robust Aggregation for Federated Learning (2019, background): “Extensions were proposed in [7, 29, 33, 47, 50, 57, 69, 75, 79]; see also the recent surveys [46, 56].”
• Asynchronous Federated Learning on Heterogeneous Devices: A Survey (2021, background): “Considering the effects of smooth strongly convex and smooth nonconvex functions when the data distribution is nonIID, the authors in [91] investigate the convergence theoretically and conduct several experiments.”